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references.bib
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@article{anon2023sup,
author = {Anonymous},
title = {Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models},
year = {2023},
journal={Anonymous Journal}
}
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title={Ultrasound medical imaging techniques: a survey},
author={Avola, Danilo and Cinque, Luigi and Fagioli, Alessio and Foresti, Gianluca and Mecca, Alessio},
journal={ACM Computing Surveys (CSUR)},
volume={54},
number={3},
pages={1--38},
year={2021},
publisher={ACM New York, NY, USA}
}
@article{chen2021transunet,
title={Transunet: Transformers make strong encoders for medical image segmentation},
author={Chen, Jieneng and Lu, Yongyi and Yu, Qihang and Luo, Xiangde and Adeli, Ehsan and Wang, Yan and Lu, Le and Yuille, Alan L and Zhou, Yuyin},
journal={arXiv preprint arXiv:2102.04306},
year={2021}
}
@article{chen2023towards,
title={Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts},
author={Chen, Zhihong and Diao, Shizhe and Wang, Benyou and Li, Guanbin and Wan, Xiang},
journal={arXiv preprint arXiv:2302.08958},
year={2023}
}
@inproceedings{deng2021transbridge,
title={TransBridge: A lightweight transformer for left ventricle segmentation in echocardiography},
author={Deng, Kaizhong and Meng, Yanda and Gao, Dongxu and Bridge, Joshua and Shen, Yaochun and Lip, Gregory and Zhao, Yitian and Zheng, Yalin},
booktitle={Simplifying Medical Ultrasound: Second International Workshop, ASMUS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings 2},
pages={63--72},
year={2021},
organization={Springer}
}
@inproceedings{do2021multiple,
title={Multiple meta-model quantifying for medical visual question answering},
author={Do, Tuong and Nguyen, Binh X and Tjiputra, Erman and Tran, Minh and Tran, Quang D and Nguyen, Anh},
booktitle={Medical Image Computing and Computer Assisted Intervention--MICCAI 2021: 24th International Conference, Strasbourg, France, September 27--October 1, 2021, Proceedings, Part V 24},
pages={64--74},
year={2021},
organization={Springer}
}
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title={An image is worth 16x16 words: Transformers for image recognition at scale},
author={Dosovitskiy, Alexey and Beyer, Lucas and Kolesnikov, Alexander and Weissenborn, Dirk and Zhai, Xiaohua and Unterthiner, Thomas and Dehghani, Mostafa and Minderer, Matthias and Heigold, Georg and Gelly, Sylvain and others},
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year={2020}
}
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title={Cloob: Modern hopfield networks with infoloob outperform clip},
author={F{\"u}rst, Andreas and Rumetshofer, Elisabeth and Lehner, Johannes and Tran, Viet T and Tang, Fei and Ramsauer, Hubert and Kreil, David and Kopp, Michael and Klambauer, G{\"u}nter and Bitto, Angela and others},
journal={Advances in neural information processing systems},
volume={35},
pages={20450--20468},
year={2022}
}
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title={Generative adversarial nets},
author={Goodfellow, Ian and Pouget-Abadie, Jean and Mirza, Mehdi and Xu, Bing and Warde-Farley, David and Ozair, Sherjil and Courville, Aaron and Bengio, Yoshua},
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@inproceedings{hatamizadeh2021swin,
title={Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images},
author={Hatamizadeh, Ali and Nath, Vishwesh and Tang, Yucheng and Yang, Dong and Roth, Holger R and Xu, Daguang},
booktitle={International MICCAI Brainlesion Workshop},
pages={272--284},
year={2021},
organization={Springer}
}
@inproceedings{hatamizadeh2022unetr,
title={Unetr: Transformers for 3d medical image segmentation},
author={Hatamizadeh, Ali and Tang, Yucheng and Nath, Vishwesh and Yang, Dong and Myronenko, Andriy and Landman, Bennett and Roth, Holger R and Xu, Daguang},
booktitle={Proceedings of the IEEE/CVF winter conference on applications of computer vision},
pages={574--584},
year={2022}
}
@article{havaei2017brain,
title={Brain tumor segmentation with deep neural networks},
author={Havaei, Mohammad and Davy, Axel and Warde-Farley, David and Biard, Antoine and Courville, Aaron and Bengio, Yoshua and Pal, Chris and Jodoin, Pierre-Marc and Larochelle, Hugo},
journal={Medical image analysis},
volume={35},
pages={18--31},
year={2017},
publisher={Elsevier}
}
@article{ho2020denoising,
title={Denoising diffusion probabilistic models},
author={Ho, Jonathan and Jain, Ajay and Abbeel, Pieter},
journal={Advances in neural information processing systems},
volume={33},
pages={6840--6851},
year={2020}
}
@article{huang2020pixel,
title={Pixel-bert: Aligning image pixels with text by deep multi-modal transformers},
author={Huang, Zhicheng and Zeng, Zhaoyang and Liu, Bei and Fu, Dongmei and Fu, Jianlong},
journal={arXiv preprint arXiv:2004.00849},
year={2020}
}
@article{isensee2021nnu,
title={nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation},
author={Isensee, Fabian and Jaeger, Paul F and Kohl, Simon AA and Petersen, Jens and Maier-Hein, Klaus H},
journal={Nature methods},
volume={18},
number={2},
pages={203--211},
year={2021},
publisher={Nature Publishing Group US New York}
}
@inproceedings{jia2021scaling,
title={Scaling up visual and vision-language representation learning with noisy text supervision},
author={Jia, Chao and Yang, Yinfei and Xia, Ye and Chen, Yi-Ting and Parekh, Zarana and Pham, Hieu and Le, Quoc and Sung, Yun-Hsuan and Li, Zhen and Duerig, Tom},
booktitle={International Conference on Machine Learning},
pages={4904--4916},
year={2021},
organization={PMLR}
}
@article{kingma2014adam,
title={Adam: A method for stochastic optimization},
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journal={arXiv preprint arXiv:1412.6980},
year={2014}
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@article{leclerc2019deep,
title={Deep learning for segmentation using an open large-scale dataset in 2D echocardiography},
author={Leclerc, Sarah and Smistad, Erik and Pedrosa, Joao and {\O}stvik, Andreas and Cervenansky, Frederic and Espinosa, Florian and Espeland, Torvald and Berg, Erik Andreas Rye and Jodoin, Pierre-Marc and Grenier, Thomas and others},
journal={IEEE transactions on medical imaging},
volume={38},
number={9},
pages={2198--2210},
year={2019},
publisher={IEEE}
}
@article{li2021supervision,
title={Supervision exists everywhere: A data efficient contrastive language-image pre-training paradigm},
author={Li, Yangguang and Liang, Feng and Zhao, Lichen and Cui, Yufeng and Ouyang, Wanli and Shao, Jing and Yu, Fengwei and Yan, Junjie},
journal={arXiv preprint arXiv:2110.05208},
year={2021}
}
@inproceedings{li2022blip,
title={Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation},
author={Li, Junnan and Li, Dongxu and Xiong, Caiming and Hoi, Steven},
booktitle={International Conference on Machine Learning},
pages={12888--12900},
year={2022},
organization={PMLR}
}
@inproceedings{li2022grounded,
title={Grounded language-image pre-training},
author={Li, Liunian Harold and Zhang, Pengchuan and Zhang, Haotian and Yang, Jianwei and Li, Chunyuan and Zhong, Yiwu and Wang, Lijuan and Yuan, Lu and Zhang, Lei and Hwang, Jenq-Neng and others},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={10965--10975},
year={2022}
}
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title={Microsoft coco: Common objects in context},
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pages={740--755},
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}
@inproceedings{ling2022reaching,
title={Reaching intra-observer variability in 2-D echocardiographic image segmentation with a simple U-Net architecture},
author={Ling, Hang Jung and Garcia, Damien and Bernard, Olivier},
booktitle={IEEE International Ultrasonics Symposium (IUS)},
year={2022}
}
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title={Decoupled weight decay regularization},
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journal={arXiv preprint arXiv:1711.05101},
year={2017}
}
@inproceedings{luddecke2022image,
title={Image segmentation using text and image prompts},
author={L{\"u}ddecke, Timo and Ecker, Alexander},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={7086--7096},
year={2022}
}
@inproceedings{milletari2016v,
title={V-net: Fully convolutional neural networks for volumetric medical image segmentation},
author={Milletari, Fausto and Navab, Nassir and Ahmadi, Seyed-Ahmad},
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year={2016},
organization={Ieee}
}
@article{oktay2018attention,
title={Attention u-net: Learning where to look for the pancreas},
author={Oktay, Ozan and Schlemper, Jo and Folgoc, Loic Le and Lee, Matthew and Heinrich, Mattias and Misawa, Kazunari and Mori, Kensaku and McDonagh, Steven and Hammerla, Nils Y and Kainz, Bernhard and others},
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year={2018}
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title={Styleclip: Text-driven manipulation of stylegan imagery},
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title={Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models},
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year={2022}
}
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title={Learning transferable visual models from natural language supervision},
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year={2021},
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}
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title={Denseclip: Language-guided dense prediction with context-aware prompting},
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year={2022}
}
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title={U-net: Convolutional networks for biomedical image segmentation},
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@article{schuhmann2022laion,
title={Laion-5b: An open large-scale dataset for training next generation image-text models},
author={Schuhmann, Christoph and Beaumont, Romain and Vencu, Richard and Gordon, Cade and Wightman, Ross and Cherti, Mehdi and Coombes, Theo and Katta, Aarush and Mullis, Clayton and Wortsman, Mitchell and others},
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year={2022}
}
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title={Breaking with fixed set pathology recognition through report-guided contrastive training},
author={Seibold, Constantin and Rei{\ss}, Simon and Sarfraz, M Saquib and Stiefelhagen, Rainer and Kleesiek, Jens},
booktitle={Medical Image Computing and Computer Assisted Intervention--MICCAI 2022: 25th International Conference, Singapore, September 18--22, 2022, Proceedings, Part V},
pages={690--700},
year={2022},
organization={Springer}
}
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title={Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning},
author={Sharma, Piyush and Ding, Nan and Goodman, Sebastian and Soricut, Radu},
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title={Flava: A foundational language and vision alignment model},
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pages={15638--15650},
year={2022}
}
@article{stojanovski2023echo,
title={Echo from noise: synthetic ultrasound image generation using diffusion models for real image segmentation},
author={Stojanovski, David and Hermida, Uxio and Lamata, Pablo and Beqiri, Arian and Gomez, Alberto},
journal={arXiv preprint arXiv:2305.05424},
year={2023}
}
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title={TGANet: text-guided attention for improved polyp segmentation},
author={Tomar, Nikhil Kumar and Jha, Debesh and Bagci, Ulas and Ali, Sharib},
booktitle={Medical Image Computing and Computer Assisted Intervention--MICCAI 2022: 25th International Conference, Singapore, September 18--22, 2022, Proceedings, Part III},
pages={151--160},
year={2022},
organization={Springer}
}
@inproceedings{wang2022cris,
title={Cris: Clip-driven referring image segmentation},
author={Wang, Zhaoqing and Lu, Yu and Li, Qiang and Tao, Xunqiang and Guo, Yandong and Gong, Mingming and Liu, Tongliang},
booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
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year={2022}
}
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title={Medclip: Contrastive learning from unpaired medical images and text},
author={Wang, Zifeng and Wu, Zhenbang and Agarwal, Dinesh and Sun, Jimeng},
journal={arXiv preprint arXiv:2210.10163},
year={2022}
}
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title={Ofa: Unifying architectures, tasks, and modalities through a simple sequence-to-sequence learning framework},
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pages={23318--23340},
year={2022},
organization={PMLR}
}
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year={2022}
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pages={1--7},
year={2022},
organization={IEEE}
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year={2022}
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title={Lit: Zero-shot transfer with locked-image text tuning},
author={Zhai, Xiaohua and Wang, Xiao and Mustafa, Basil and Steiner, Andreas and Keysers, Daniel and Kolesnikov, Alexander and Beyer, Lucas},
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year={2022}
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year={2020}
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title={Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing},
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journal={arXiv preprint arXiv:2303.00915},
year={2023}
}
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title={Unet++: A nested u-net architecture for medical image segmentation},
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year={2018},
organization={Springer}
}
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title={ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation},
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journal={arXiv preprint arXiv:2212.03588},
year={2022}
}
@inproceedings{zou2023generalized,
title={Generalized decoding for pixel, image, and language},
author={Zou, Xueyan and Dou, Zi-Yi and Yang, Jianwei and Gan, Zhe and Li, Linjie and Li, Chunyuan and Dai, Xiyang and Behl, Harkirat and Wang, Jianfeng and Yuan, Lu and others},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={15116--15127},
year={2023}
}